Connectionists: MSc in Computational Cognitive Neuroscience -- 2021-22 application round now OPEN

[Max Garagnani]

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The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is delighted to announce the opening of the 2021-22 round of applications.

 

This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry.

 

APPLICATIONS for 2021-22 entry are now OPEN
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To submit an online application (free of any costs), click on the link below and follow the instructions: 
https://bit.ly/2Fi86SB

NOTE: places on this course are limited and allocated on a first-come, first-served basis. Apply early to avoid disappointment later.

 

COURSE OUTLINE:
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This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered.

 

The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ‘in house’ or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, and to read what our alumni have to say about this course, visit: https://coconeuro.com/

 

LINKS WITH INDUSTRY
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The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, and Japan. Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market.

 

For any further information, including funding opportunities and tuition fees, please visit:

https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/

https://www.gold.ac.uk/pg/fees-funding/

 

For any other specific questions, please do not hesitate to get in touch.

We look forward to receiving your application soon!

 

Max Garagnani

Maria Herrojo Ruiz

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Joint Programme Leaders, MSc in Computational Cognitive Neuroscience

Department of Computing 

Goldsmiths, University of London

Lewisham Way, New Cross

London SE14 6NW, UK

Tel. +44 (0)20 7919 7850 

Fax: +44 (0)20 7919 7853 

https://www.gold.ac.uk/computing/people/garagnani-max/

https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/

Follow this Masters on Twitter: https://twitter.com/coconeuro_gold 

 

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